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Background: Lymphopenia is a hallmark of multisystem inflammatory syndrome in children (MIS-C). We aimed to characterize lymphocyte subsets' shifts and their correlations with other severity markers of MIS-C.
Methods: In this prospective cross-sectional study, we performed peripheral lymphocyte phenotyping in 32 patients with MIS-C. We analyzed lymphocyte subsets at three time points of the disease: the acute (A), convalescent (B), and recovery (C) phases. Based on age-normalized lymphocyte counts, we distinguished two groups of patients: "the mild" (higher lymphocyte counts) and "the severe" (lower lymphocyte counts). In addition, we examined differences between these groups regarding other severity markers.
Results: In phase A, 84% of children had lymphopenia. Decreased absolute counts of CD3, CD4, and CD8 cells were observed in, respectively, 88%, 72%, and 84% of patients. The natural killer cells were decreased in 63% and CD19 in 59% of children. "The severe" group had significantly higher procalcitonin and troponin I levels and lower platelets and albumin. Moreover, "the severe" group had hypotension more frequently (73% vs. 20%, p = .008). In phase B, all lymphocyte counts increased, and 32% of children had lymphocytosis. The increase of CD3, CD4, and CD8 counts correlated with some laboratory severity markers (hemoglobin, procalcitonin, D-dimer, lactate dehydrogenase, N-terminal prohormone of brain natriuretic peptide, albumin), but not with steroid use. In phase C, most children had normal lymphocyte counts.
Conclusions: Substantial shifts in lymphocyte counts during MIS-C apply most to T lymphocytes and correlate with the disease severity markers, particularly hypotension prevalence. A proportion of children with MIS-C develops transient lymphocytosis during convalescence.
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http://dx.doi.org/10.1111/pai.13611 | DOI Listing |
Clinics (Sao Paulo)
September 2025
School of Integrated Traditional Chinese and Western Medicine, Anhui University of Chinese Medicine, China. Electronic address:
Background: This study explores potential associations between asthma and the Systemic Immune-Inflammation Index (SII).
Methods: The study primarily focuses on adults with complete data on SII and asthma from the National Health and Nutrition Examination Survey database (2015-2020). SII is calculated using the formula: platelet count × neutrophil count / lymphocyte count.
Mol Nutr Food Res
September 2025
Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, China.
The relationship between dietary biotin intake and cognitive function remains unclear. This study explores the association between biotin and dementia, and the mediating role of inflammation indicators. Dietary biotin intake was assessed via the 24-h recall questionnaire.
View Article and Find Full Text PDFImmunobiology
August 2025
Center for Cellular Engineering, Department of Transfusion Medicine and Center for Cellular Engineering, NIH Clinical Center, Bethesda, MD 20892, USA. Electronic address:
Background: Hematopoietic progenitor cells (HPCs) and mononuclear cells (MNCs) are critical components of cell-based therapies, including bone marrow transplantation and regenerative treatments. Evaluation of the characteristics of these products during collection, storage, and transport is essential for maintaining cell viability and functionality. In this study, we evaluated the functional and molecular stability of samples collected for the evaluation of fresh HPC and MNC products.
View Article and Find Full Text PDFAnn Plast Surg
September 2025
From the Department of Plastic Surgery, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
Background: Burns are associated with significant morbidity and mortality, with several factors determining mortality. Identifying reliable early predictors of mortality is crucial for guiding treatment decisions and improving outcomes. This study evaluates the prognostic significance of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in predicting mortality in patients with severe burns.
View Article and Find Full Text PDFPLoS One
September 2025
Western Gipuzkoa Clinical Research Unit, Osakidetza/Basque Health Service, Mendaro Hospital, Gipuzkoa, Spain.
Objective: To perform an external validation of a previously reported machine learning (ML) approach for predicting the diagnosis of pleural tuberculosis.
Patients And Methods: We defined two cohorts: a Training group, comprising 273 out of 1,220 effusions from our prospective study (2013-2022); and a Testing group, from a retrospective analysis of 360 effusions from 832 consecutive patients in Bajo Deba health district (1996-2012). All the effusions included were exudative and lymphocytic.